1 HOK comparison of CASAL and Casal2 model configurations

This document compares the results of at least 2 CASAL model configurations (base and at least one sensitivity) and up to 8 Casal2 model configurations (3 BetaDiff, 2 CppAD, and 3 ADOL-C).

The CASAL model sensitivity 1 has a smaller tolerance value than the CASAL base model (1e-9 vs. 1e-6).

The Casal2 ADOL-C and BetaDiff low tolerance models have a smaller tolerance value than the CASAL base model (1e-9 vs. 1e-6). The Casal2 CppAD models have a tolerance value of 1e-9.

1.1 R environment

## [1] "Mon Mar  2 13:46:18 2020"
## R version 3.6.0 (2019-04-26)
## Platform: x86_64-redhat-linux-gnu (64-bit)
## Running under: CentOS Linux 7 (Core)
## 
## Matrix products: default
## BLAS/LAPACK: /usr/lib64/R/lib/libRblas.so
## 
## locale:
##  [1] LC_CTYPE=en_NZ.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_NZ.UTF-8        LC_COLLATE=en_NZ.UTF-8    
##  [5] LC_MONETARY=en_NZ.UTF-8    LC_MESSAGES=en_NZ.UTF-8   
##  [7] LC_PAPER=en_GB.UTF_8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] casal2_1.0     casal_2.30     devtools_2.2.2 usethis_1.5.1  rlist_0.4.6.1 
## [6] ggplot2_3.2.1 
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.3        pillar_1.4.3      compiler_3.6.0    remotes_2.1.1    
##  [5] prettyunits_1.1.1 tools_3.6.0       testthat_2.3.1    pkgload_1.0.2    
##  [9] pkgbuild_1.0.6    digest_0.6.25     memoise_1.1.0     evaluate_0.14    
## [13] lifecycle_0.1.0   tibble_2.1.3      gtable_0.3.0      pkgconfig_2.0.3  
## [17] rlang_0.4.5       cli_2.0.2         yaml_2.2.1        xfun_0.12        
## [21] withr_2.1.2       dplyr_0.8.4       stringr_1.4.0     knitr_1.28       
## [25] desc_1.2.0        fs_1.3.1          rprojroot_1.3-2   grid_3.6.0       
## [29] tidyselect_0.2.5  glue_1.3.1        data.table_1.12.8 R6_2.4.1         
## [33] processx_3.4.2    fansi_0.4.1       rmarkdown_2.1     sessioninfo_1.1.1
## [37] callr_3.4.2       purrr_0.3.3       magrittr_1.5      backports_1.1.5  
## [41] ps_1.3.2          ellipsis_0.3.0    scales_1.1.0      htmltools_0.4.0  
## [45] assertthat_0.2.1  colorspace_1.4-1  stringi_1.4.6     lazyeval_0.2.2   
## [49] munsell_0.5.0     crayon_1.3.4

1.2 CASAL and Casal2 model output

# read in CASAL MPD results
cas_mpd_filename <- file.path(base_dir, 'CASAL', mpd_run)
cas_mpd  <- casal::extract.mpd(cas_mpd_filename)
cas_corr <- casal::extract.correlation.matrix(cas_mpd_filename)
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cas_conv <- get_convergence_information(cas_mpd_filename)
c1_quant <- cas_mpd$quantities

cas_mpd_sens1_filename <- file.path(base_dir, 'CASAL_sens1', mpd_run)
cas_mpd_sens1  <- casal::extract.mpd(cas_mpd_sens1_filename)
cas_sens1_corr <- casal::extract.correlation.matrix(cas_mpd_sens1_filename)
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cas_sens1_conv <- get_convergence_information(cas_mpd_sens1_filename)
c1_sens1_quant <- cas_mpd_sens1$quantities
C2_subdir <- c('betadiff_casal_flags_on',
               'betadiff_casal_flags_off',
               'betadiff_casal_flags_on_low_tol',
               'cppad_casal_flags_on',
               'cppad_casal_flags_off',
               'adolc_casal_flags_on',
               'adolc_casal_flags_off',
               'adolc_casal_flags_on_low_tol')


# find the non-zero-sized parameter estimate files for the C2 models
C2_subdir <- unlist(sapply(C2_subdir, function(c_dir) if ( file.access(file.path(base_dir, 'Casal2', c_dir, params_est), 4) == 0 &
                                                           file.size(file.path(base_dir, 'Casal2', c_dir, params_est)) > 0 )
                                                         { return (c_dir) }, USE.NAMES=FALSE ))


num_C2_models <- length(C2_subdir)

C2_color <- c('blue', 'green3', 'red', 'gold', 'magenta', 'cyan', 'brown', 'orange')

# read in Casal2 MPD results
cas2_mpd <- list()
cas2_corr <- list()
cas2_conv <- list()
for (c in 1:num_C2_models)
{
    cas2_mpd_filename <- file.path(base_dir, 'Casal2', C2_subdir[c], mpd_run)
    cas2_mpd[[c]] <- casal2::extract.mpd(cas2_mpd_filename)

    cas2_corr[[c]] <- casal2::extract.correlation.matrix(mpd_out, file.path(base_dir, 'Casal2', C2_subdir[c]))

    cas2_conv[[c]] <- get_convergence_information(cas2_mpd_filename)
}

1.3 Tables

Tables of parameter estimates and objective function components for the CASAL and Casal2 model MPD results

CASAL parameter estimates
rownames Base_Model Sensitivity_1 Percent_Diff
q[CSacous].q                0.43115 0.43116 -0.003
q[WCacous].q                0.30025 0.30024 0.003
q[CRsum].q                0.07431 0.07431 0.007
q[SAsum].q                0.05925 0.05925 0.001
q[SAaut].q                0.06717 0.06717 0.002
relative_abundance[CRsumbio].cv_process_error 0.14048 0.14048 0.001
relative_abundance[SAsumbio].cv_process_error 0.43061 0.43061 -0.000
log_B0_total                  14.33950 14.33950 0.000
B0_prop_stock1                  0.32872 0.32871 0.003
natural_mortality.all              0.29598 0.29598 -0.002
selectivity[Wspsl].shift_a          -0.21743 -0.21744 -0.005
recruitment[E].YCS1             0.44781 0.44782 -0.001
recruitment[E].YCS2             0.72678 0.72680 -0.002
recruitment[E].YCS3             0.78452 0.78454 -0.002
recruitment[E].YCS4             1.35998 1.36001 -0.002
recruitment[E].YCS5             0.98774 0.98776 -0.002
recruitment[E].YCS6             0.32931 0.32932 -0.001
recruitment[E].YCS7             0.44722 0.44723 -0.001
recruitment[E].YCS8             0.26556 0.26556 -0.001
recruitment[E].YCS9             0.43418 0.43418 0.000
recruitment[E].YCS10            0.48804 0.48804 -0.001
recruitment[E].YCS11            0.39569 0.39570 -0.000
recruitment[E].YCS12            0.21791 0.21791 -0.000
recruitment[E].YCS13            1.03641 1.03640 0.001
recruitment[E].YCS14            0.95892 0.95891 0.001
recruitment[E].YCS15            0.42899 0.42899 -0.001
recruitment[E].YCS16            0.13810 0.13810 -0.001
recruitment[E].YCS17            0.37501 0.37500 0.002
recruitment[E].YCS18            0.39166 0.39164 0.005
recruitment[E].YCS19            0.38310 0.38310 0.000
recruitment[E].YCS20            0.56286 0.56285 0.002
recruitment[E].YCS21            0.26399 0.26399 0.000
recruitment[E].YCS22            0.28447 0.28447 0.000
recruitment[E].YCS23            0.45004 0.45003 0.001
recruitment[E].YCS24            0.25308 0.25307 0.001
recruitment[E].YCS25            0.06000 0.06000 0.000
recruitment[E].YCS26            0.46220 0.46220 0.001
recruitment[E].YCS27            0.16165 0.16165 -0.001
recruitment[E].YCS28            0.26690 0.26689 0.003
recruitment[E].YCS29            0.50038 0.50038 0.000
recruitment[E].YCS30            0.52003 0.52003 0.001
recruitment[E].YCS31            0.50883 0.50882 0.000
recruitment[E].YCS32            0.60056 0.60055 0.001
recruitment[E].YCS33            0.52215 0.52215 0.000
recruitment[E].YCS34            0.37302 0.37300 0.003
recruitment[E].YCS35            0.52681 0.52681 -0.000
recruitment[E].YCS36            0.15864 0.15864 0.001
recruitment[E].YCS37            0.66058 0.66058 0.000
recruitment[E].YCS38            0.15599 0.15600 -0.001
recruitment[E].YCS39            0.18584 0.18584 -0.001
recruitment[E].YCS40            0.73063 0.73062 0.001
recruitment[E].YCS41            0.73906 0.73900 0.008
recruitment[E].YCS42            1.19514 1.19515 -0.001
recruitment[W].YCS1             0.45702 0.45702 -0.000
recruitment[W].YCS2             0.82218 0.82218 0.000
recruitment[W].YCS3             0.67001 0.67000 0.000
recruitment[W].YCS4             0.65390 0.65390 0.000
recruitment[W].YCS5             0.46590 0.46590 0.001
recruitment[W].YCS6             0.51512 0.51512 -0.000
recruitment[W].YCS7             0.57824 0.57824 0.000
recruitment[W].YCS8             0.47328 0.47328 0.001
recruitment[W].YCS9             0.87191 0.87192 -0.002
recruitment[W].YCS10            0.83644 0.83646 -0.003
recruitment[W].YCS11            0.32024 0.32024 -0.002
recruitment[W].YCS12            0.16497 0.16497 0.001
recruitment[W].YCS13            1.47554 1.47555 -0.001
recruitment[W].YCS14            0.77274 0.77276 -0.002
recruitment[W].YCS15            0.08135 0.08134 0.000
recruitment[W].YCS16            0.08158 0.08158 0.001
recruitment[W].YCS17            0.89280 0.89280 0.000
recruitment[W].YCS18            1.26777 1.26778 -0.001
recruitment[W].YCS19            0.37722 0.37722 0.000
recruitment[W].YCS20            0.95940 0.95939 0.000
recruitment[W].YCS21            0.22113 0.22113 0.001
recruitment[W].YCS22            0.19718 0.19718 0.001
recruitment[W].YCS23            0.23794 0.23795 -0.003
recruitment[W].YCS24            0.20291 0.20292 -0.002
recruitment[W].YCS25            0.06000 0.06000 0.000
recruitment[W].YCS26            0.37304 0.37304 -0.002
recruitment[W].YCS27            0.09548 0.09548 -0.001
recruitment[W].YCS28            0.79558 0.79558 -0.000
recruitment[W].YCS29            0.46516 0.46517 -0.001
recruitment[W].YCS30            0.51662 0.51662 -0.001
recruitment[W].YCS31            0.51126 0.51126 -0.000
recruitment[W].YCS32            0.75544 0.75544 0.000
recruitment[W].YCS33            0.63892 0.63891 0.001
recruitment[W].YCS34            0.61686 0.61686 -0.001
recruitment[W].YCS35            0.57841 0.57841 0.001
recruitment[W].YCS36            0.14547 0.14547 -0.001
recruitment[W].YCS37            0.97479 0.97478 0.001
recruitment[W].YCS38            0.16016 0.16016 0.002
recruitment[W].YCS39            0.24444 0.24444 0.001
recruitment[W].YCS40            2.19661 2.19657 0.002
recruitment[W].YCS41            2.15201 2.15204 -0.001
recruitment[W].YCS42            1.19538 1.19539 -0.001
migration[Whome].rates_all1       0.32784 0.32783 0.003
migration[Whome].rates_all2       0.30780 0.30778 0.006
migration[Whome].rates_all3       0.47624 0.47620 0.007
migration[Whome].rates_all4       0.14184 0.14184 0.001
migration[Whome].rates_all5       0.46851 0.46836 0.033
migration[Whome].rates_all6       0.74978 0.75026 -0.064
migration[Whome].rates_all7       0.79469 0.78841 0.790
migration[Whome].rates_all8       1.00000 1.00000 0.000
migration[Espmg].rates_all1       0.00566 0.00566 0.002
migration[Espmg].rates_all2       0.16021 0.16021 0.002
migration[Espmg].rates_all3       0.32412 0.32411 0.002
migration[Espmg].rates_all4       0.43124 0.43123 0.002
migration[Espmg].rates_all5       0.38546 0.38546 0.002
migration[Espmg].rates_all6       0.46536 0.46535 0.002
migration[Espmg].rates_all7       0.59902 0.59902 0.001
migration[Espmg].rates_all8       0.60778 0.60778 0.001
migration[Wspmg].rates_all1       0.10614 0.10614 0.000
migration[Wspmg].rates_all2       0.28774 0.28774 -0.001
migration[Wspmg].rates_all3       0.27076 0.27076 0.000
migration[Wspmg].rates_all4       0.45525 0.45525 0.000
migration[Wspmg].rates_all5       0.48465 0.48466 -0.001
migration[Wspmg].rates_all6       0.52713 0.52711 0.005
migration[Wspmg].rates_all7       0.66056 0.66062 -0.009
migration[Wspmg].rates_all8       0.59628 0.59627 0.001
selectivity[Enspsl].all1             3.56717 3.56716 0.000
selectivity[Enspsl].all2             1.22109 1.22108 0.001
selectivity[Enspsl].all3             15.71130 15.71370 -0.015
selectivity[Wnspsl].all1             5.34113 5.34117 -0.001
selectivity[Wnspsl].all2             2.83932 2.83934 -0.001
selectivity[Wnspsl].all3             13.37880 13.37890 -0.001
selectivity[Espsl].all1             10.87880 10.87880 0.000
selectivity[Espsl].all2             11.67780 11.67750 0.003
selectivity[Espsl].all3             3.98159 3.98165 -0.002
selectivity[CRsl].all1             1.00000 1.00000 0.000
selectivity[CRsl].all2             1.00000 1.00000 0.000
selectivity[CRsl].all3             9.30026 9.30042 -0.002
selectivity[SAsl].all1             14.25200 14.25230 -0.002
selectivity[SAsl].all2             8.75543 8.75558 -0.002
selectivity[SAsl].all3             1.31548 1.31519 0.022
Casal2 parameter estimates
rownames betadiff_casal_flags_on betadiff_casal_flags_off betadiff_casal_flags_on_low_tol cppad_casal_flags_on cppad_casal_flags_off adolc_casal_flags_on adolc_casal_flags_off adolc_casal_flags_on_low_tol
catchability[CSacous].q                0.427 0.427 0.431 0.431 0.431 0.428 0.427 0.428
catchability[WCacous].q                0.313 0.313 0.300 0.300 0.300 0.312 0.313 0.312
catchability[CRsum].q                0.068 0.068 0.074 0.074 0.074 0.068 0.068 0.068
catchability[SAsum].q                0.067 0.067 0.059 0.059 0.059 0.067 0.067 0.067
catchability[SAaut].q                0.076 0.076 0.067 0.067 0.067 0.076 0.076 0.076
observation[CRsumbio].process_error    0.141 0.141 0.140 0.140 0.140 0.141 0.141 0.141
observation[SAsumbio].process_error    0.424 0.424 0.431 0.431 0.431 0.424 0.424 0.424
process[recruit_E].b0               548395.000 548395.000 555125.000 555125.000 555125.000 547497.000 548395.000 547497.000
process[recruit_W].b0               1082670.000 1082670.000 1133680.000 1133680.000 1133680.000 1083360.000 1082670.000 1083360.000
process[Instant_mortality].m{west.sa}              0.313 0.313 0.296 0.296 0.296 0.313 0.313 0.313
time_varying[shifted_mu].a                -0.229 -0.229 -0.217 -0.217 -0.217 -0.230 -0.229 -0.230
process[recruit_E].ycs_values{1975} 0.445 0.445 0.448 0.448 0.448 0.446 0.445 0.446
process[recruit_E].ycs_values{1976} 0.729 0.729 0.727 0.727 0.727 0.731 0.729 0.731
process[recruit_E].ycs_values{1977} 0.792 0.792 0.785 0.785 0.785 0.793 0.792 0.793
process[recruit_E].ycs_values{1978} 1.386 1.386 1.360 1.360 1.360 1.388 1.386 1.388
process[recruit_E].ycs_values{1979} 1.003 1.003 0.988 0.988 0.988 1.004 1.003 1.004
process[recruit_E].ycs_values{1980} 0.334 0.334 0.329 0.329 0.329 0.335 0.334 0.335
process[recruit_E].ycs_values{1981} 0.455 0.455 0.447 0.447 0.447 0.455 0.455 0.455
process[recruit_E].ycs_values{1982} 0.270 0.270 0.266 0.266 0.266 0.270 0.270 0.270
process[recruit_E].ycs_values{1983} 0.441 0.441 0.434 0.434 0.434 0.441 0.441 0.441
process[recruit_E].ycs_values{1984} 0.494 0.494 0.488 0.488 0.488 0.494 0.494 0.494
process[recruit_E].ycs_values{1985} 0.400 0.400 0.396 0.396 0.396 0.400 0.400 0.400
process[recruit_E].ycs_values{1986} 0.220 0.220 0.218 0.218 0.218 0.220 0.220 0.220
process[recruit_E].ycs_values{1987} 1.041 1.041 1.036 1.036 1.036 1.041 1.041 1.041
process[recruit_E].ycs_values{1988} 0.963 0.963 0.959 0.959 0.959 0.963 0.963 0.963
process[recruit_E].ycs_values{1989} 0.431 0.431 0.429 0.429 0.429 0.431 0.431 0.431
process[recruit_E].ycs_values{1990} 0.138 0.138 0.138 0.138 0.138 0.138 0.138 0.138
process[recruit_E].ycs_values{1991} 0.374 0.374 0.375 0.375 0.375 0.373 0.374 0.373
process[recruit_E].ycs_values{1992} 0.389 0.389 0.392 0.392 0.392 0.388 0.389 0.388
process[recruit_E].ycs_values{1993} 0.380 0.380 0.383 0.383 0.383 0.380 0.380 0.380
process[recruit_E].ycs_values{1994} 0.558 0.558 0.563 0.563 0.563 0.557 0.558 0.557
process[recruit_E].ycs_values{1995} 0.262 0.262 0.264 0.264 0.264 0.262 0.262 0.262
process[recruit_E].ycs_values{1996} 0.283 0.283 0.284 0.284 0.284 0.282 0.283 0.282
process[recruit_E].ycs_values{1997} 0.448 0.448 0.450 0.450 0.450 0.448 0.448 0.448
process[recruit_E].ycs_values{1998} 0.253 0.253 0.253 0.253 0.253 0.252 0.253 0.252
process[recruit_E].ycs_values{1999} 0.060 0.060 0.060 0.060 0.060 0.060 0.060 0.060
process[recruit_E].ycs_values{2000} 0.460 0.460 0.462 0.462 0.462 0.460 0.460 0.460
process[recruit_E].ycs_values{2001} 0.161 0.161 0.162 0.162 0.162 0.161 0.161 0.161
process[recruit_E].ycs_values{2002} 0.266 0.266 0.267 0.267 0.267 0.266 0.266 0.266
process[recruit_E].ycs_values{2003} 0.500 0.500 0.500 0.500 0.500 0.499 0.500 0.499
process[recruit_E].ycs_values{2004} 0.521 0.521 0.520 0.520 0.520 0.520 0.521 0.520
process[recruit_E].ycs_values{2005} 0.508 0.508 0.509 0.509 0.509 0.508 0.508 0.508
process[recruit_E].ycs_values{2006} 0.600 0.600 0.601 0.601 0.601 0.600 0.600 0.600
process[recruit_E].ycs_values{2007} 0.521 0.521 0.522 0.522 0.522 0.521 0.521 0.521
process[recruit_E].ycs_values{2008} 0.371 0.371 0.373 0.373 0.373 0.370 0.371 0.370
process[recruit_E].ycs_values{2009} 0.528 0.528 0.527 0.527 0.527 0.528 0.528 0.528
process[recruit_E].ycs_values{2010} 0.157 0.157 0.159 0.159 0.159 0.157 0.157 0.157
process[recruit_E].ycs_values{2011} 0.660 0.660 0.661 0.661 0.661 0.660 0.660 0.660
process[recruit_E].ycs_values{2012} 0.156 0.156 0.156 0.156 0.156 0.156 0.156 0.156
process[recruit_E].ycs_values{2013} 0.185 0.185 0.186 0.186 0.186 0.185 0.185 0.185
process[recruit_E].ycs_values{2014} 0.728 0.728 0.731 0.731 0.731 0.728 0.728 0.728
process[recruit_E].ycs_values{2015} 0.756 0.756 0.739 0.739 0.739 0.752 0.756 0.752
process[recruit_E].ycs_values{2016} 1.189 1.189 1.195 1.195 1.195 1.189 1.189 1.189
process[recruit_W].ycs_values{1975} 0.459 0.459 0.457 0.457 0.457 0.459 0.459 0.459
process[recruit_W].ycs_values{1976} 0.814 0.814 0.822 0.822 0.822 0.814 0.814 0.814
process[recruit_W].ycs_values{1977} 0.685 0.685 0.670 0.670 0.670 0.685 0.685 0.685
process[recruit_W].ycs_values{1978} 0.669 0.669 0.654 0.654 0.654 0.669 0.669 0.669
process[recruit_W].ycs_values{1979} 0.473 0.473 0.466 0.466 0.466 0.473 0.473 0.473
process[recruit_W].ycs_values{1980} 0.521 0.521 0.515 0.515 0.515 0.521 0.521 0.521
process[recruit_W].ycs_values{1981} 0.583 0.583 0.578 0.578 0.578 0.583 0.583 0.583
process[recruit_W].ycs_values{1982} 0.475 0.475 0.473 0.473 0.473 0.474 0.475 0.474
process[recruit_W].ycs_values{1983} 0.873 0.873 0.872 0.872 0.872 0.874 0.873 0.874
process[recruit_W].ycs_values{1984} 0.836 0.836 0.836 0.836 0.836 0.837 0.836 0.837
process[recruit_W].ycs_values{1985} 0.319 0.319 0.320 0.320 0.320 0.320 0.319 0.320
process[recruit_W].ycs_values{1986} 0.165 0.165 0.165 0.165 0.165 0.165 0.165 0.165
process[recruit_W].ycs_values{1987} 1.480 1.480 1.476 1.476 1.476 1.481 1.480 1.481
process[recruit_W].ycs_values{1988} 0.775 0.775 0.773 0.773 0.773 0.775 0.775 0.775
process[recruit_W].ycs_values{1989} 0.081 0.081 0.081 0.081 0.081 0.081 0.081 0.081
process[recruit_W].ycs_values{1990} 0.082 0.082 0.082 0.082 0.082 0.082 0.082 0.082
process[recruit_W].ycs_values{1991} 0.892 0.892 0.893 0.893 0.893 0.892 0.892 0.892
process[recruit_W].ycs_values{1992} 1.268 1.268 1.268 1.268 1.268 1.268 1.268 1.268
process[recruit_W].ycs_values{1993} 0.377 0.377 0.377 0.377 0.377 0.376 0.377 0.376
process[recruit_W].ycs_values{1994} 0.956 0.956 0.959 0.959 0.959 0.956 0.956 0.956
process[recruit_W].ycs_values{1995} 0.220 0.220 0.221 0.221 0.221 0.220 0.220 0.220
process[recruit_W].ycs_values{1996} 0.196 0.196 0.197 0.197 0.197 0.196 0.196 0.196
process[recruit_W].ycs_values{1997} 0.236 0.236 0.238 0.238 0.238 0.237 0.236 0.237
process[recruit_W].ycs_values{1998} 0.200 0.200 0.203 0.203 0.203 0.201 0.200 0.201
process[recruit_W].ycs_values{1999} 0.060 0.060 0.060 0.060 0.060 0.060 0.060 0.060
process[recruit_W].ycs_values{2000} 0.371 0.371 0.373 0.373 0.373 0.371 0.371 0.371
process[recruit_W].ycs_values{2001} 0.095 0.095 0.095 0.095 0.095 0.095 0.095 0.095
process[recruit_W].ycs_values{2002} 0.796 0.796 0.796 0.796 0.796 0.796 0.796 0.796
process[recruit_W].ycs_values{2003} 0.466 0.466 0.465 0.465 0.465 0.466 0.466 0.466
process[recruit_W].ycs_values{2004} 0.518 0.518 0.517 0.517 0.517 0.518 0.518 0.518
process[recruit_W].ycs_values{2005} 0.513 0.513 0.511 0.511 0.511 0.513 0.513 0.513
process[recruit_W].ycs_values{2006} 0.755 0.755 0.755 0.755 0.755 0.755 0.755 0.755
process[recruit_W].ycs_values{2007} 0.637 0.637 0.639 0.639 0.639 0.637 0.637 0.637
process[recruit_W].ycs_values{2008} 0.616 0.616 0.617 0.617 0.617 0.616 0.616 0.616
process[recruit_W].ycs_values{2009} 0.573 0.573 0.578 0.578 0.578 0.573 0.573 0.573
process[recruit_W].ycs_values{2010} 0.146 0.146 0.145 0.145 0.145 0.146 0.146 0.146
process[recruit_W].ycs_values{2011} 0.967 0.967 0.975 0.975 0.975 0.967 0.967 0.967
process[recruit_W].ycs_values{2012} 0.159 0.159 0.160 0.160 0.160 0.159 0.159 0.159
process[recruit_W].ycs_values{2013} 0.244 0.244 0.244 0.244 0.244 0.244 0.244 0.244
process[recruit_W].ycs_values{2014} 2.187 2.187 2.197 2.197 2.197 2.185 2.187 2.185
process[recruit_W].ycs_values{2015} 2.148 2.148 2.152 2.152 2.152 2.150 2.148 2.150
process[recruit_W].ycs_values{2016} 1.189 1.189 1.195 1.195 1.195 1.190 1.189 1.190
selectivity[sel_Whome].v{1}             0.322 0.322 0.328 0.328 0.328 0.321 0.322 0.321
selectivity[sel_Whome].v{2}             0.285 0.285 0.308 0.308 0.308 0.284 0.285 0.284
selectivity[sel_Whome].v{3}             0.460 0.460 0.476 0.476 0.476 0.458 0.460 0.458
selectivity[sel_Whome].v{4}             0.135 0.135 0.142 0.142 0.142 0.135 0.135 0.135
selectivity[sel_Whome].v{5}             0.438 0.438 0.468 0.468 0.468 0.432 0.438 0.432
selectivity[sel_Whome].v{6}             0.708 0.708 0.750 0.750 0.750 0.719 0.708 0.719
selectivity[sel_Whome].v{7}             1.000 1.000 0.788 0.788 0.788 0.760 1.000 0.760
selectivity[sel_Espmg].v{1}             0.006 0.006 0.006 0.006 0.006 0.006 0.006 0.006
selectivity[sel_Espmg].v{2}             0.159 0.159 0.160 0.160 0.160 0.159 0.159 0.159
selectivity[sel_Espmg].v{3}             0.321 0.321 0.324 0.324 0.324 0.321 0.321 0.321
selectivity[sel_Espmg].v{4}             0.425 0.425 0.431 0.431 0.431 0.425 0.425 0.425
selectivity[sel_Espmg].v{5}             0.380 0.380 0.385 0.385 0.385 0.379 0.380 0.379
selectivity[sel_Espmg].v{6}             0.459 0.459 0.465 0.465 0.465 0.458 0.459 0.458
selectivity[sel_Espmg].v{7}             0.591 0.591 0.599 0.599 0.599 0.590 0.591 0.590
selectivity[sel_Espmg].v{8}             0.611 0.611 0.608 0.608 0.608 0.611 0.611 0.611
selectivity[sel_Wspmg].v{1}             0.106 0.106 0.106 0.106 0.106 0.106 0.106 0.106
selectivity[sel_Wspmg].v{2}             0.291 0.291 0.288 0.288 0.288 0.291 0.291 0.291
selectivity[sel_Wspmg].v{3}             0.271 0.271 0.271 0.271 0.271 0.271 0.271 0.271
selectivity[sel_Wspmg].v{4}             0.455 0.455 0.455 0.455 0.455 0.455 0.455 0.455
selectivity[sel_Wspmg].v{5}             0.484 0.484 0.485 0.485 0.485 0.484 0.484 0.484
selectivity[sel_Wspmg].v{6}             0.525 0.525 0.527 0.527 0.527 0.524 0.525 0.524
selectivity[sel_Wspmg].v{7}             0.653 0.653 0.661 0.661 0.661 0.656 0.653 0.656
selectivity[sel_Wspmg].v{8}             0.602 0.602 0.596 0.596 0.596 0.601 0.602 0.601
selectivity[Enspsl].mu               3.573 3.573 3.567 3.567 3.567 3.572 3.573 3.572
selectivity[Enspsl].sigma_l          1.222 1.222 1.221 1.221 1.221 1.222 1.222 1.222
selectivity[Enspsl].sigma_r          50.000 50.000 15.714 15.714 15.714 50.000 50.000 50.000
selectivity[Wnspsl].mu               5.328 5.328 5.341 5.341 5.341 5.330 5.328 5.330
selectivity[Wnspsl].sigma_l          2.778 2.778 2.839 2.839 2.839 2.778 2.778 2.778
selectivity[Wnspsl].sigma_r          50.000 50.000 13.379 13.379 13.379 50.000 49.989 50.000
selectivity[Espsl].mu               11.257 11.257 10.879 10.879 10.879 11.255 11.257 11.255
selectivity[Espsl].sigma_l          10.867 10.867 11.678 11.678 11.678 10.859 10.867 10.859
selectivity[Espsl].sigma_r          4.026 4.026 3.982 3.982 3.982 4.029 4.026 4.029
selectivity[CRsl].mu               1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
selectivity[CRsl].sigma_l          46.484 46.481 45.986 25.500 25.500 46.483 46.483 46.483
selectivity[CRsl].sigma_r          10.093 10.093 9.300 9.300 9.300 10.088 10.093 10.088
selectivity[SAsl].mu               14.868 14.868 14.252 14.252 14.252 14.865 14.868 14.865
selectivity[SAsl].sigma_l          8.695 8.695 8.756 8.756 8.756 8.693 8.695 8.693
selectivity[SAsl].sigma_r          1.000 1.000 1.315 1.315 1.315 1.000 1.000 1.000
Casal2 parameter estimates: Percent Difference from betadiff_casal_flags_on
rownames betadiff_casal_flags_on betadiff_casal_flags_off betadiff_casal_flags_on_low_tol cppad_casal_flags_on cppad_casal_flags_off adolc_casal_flags_on adolc_casal_flags_off adolc_casal_flags_on_low_tol
catchability[CSacous].q                0.000 0.000 -0.918 -0.918 -0.918 -0.145 0.000 -0.145
catchability[WCacous].q                0.000 0.000 4.027 4.027 4.027 0.128 0.000 0.128
catchability[CRsum].q                0.000 0.000 -8.765 -8.765 -8.765 0.298 -0.000 0.298
catchability[SAsum].q                0.000 0.000 11.797 11.797 11.797 0.172 0.000 0.172
catchability[SAaut].q                0.000 0.000 11.363 11.363 11.363 0.188 0.000 0.188
observation[CRsumbio].process_error    0.000 0.000 0.328 0.328 0.328 0.035 0.000 0.035
observation[SAsumbio].process_error    0.000 -0.000 -1.645 -1.645 -1.645 -0.040 0.000 -0.040
process[recruit_E].b0               0.000 0.000 -1.227 -1.227 -1.227 0.164 0.000 0.164
process[recruit_W].b0               0.000 0.000 -4.712 -4.712 -4.712 -0.064 0.000 -0.064
process[Instant_mortality].m{west.sa}              0.000 0.000 5.349 5.349 5.349 -0.070 0.000 -0.070
time_varying[shifted_mu].a                0.000 0.000 5.135 5.135 5.135 -0.166 0.000 -0.166
process[recruit_E].ycs_values{1975} 0.000 0.000 -0.549 -0.549 -0.549 -0.117 0.001 -0.117
process[recruit_E].ycs_values{1976} 0.000 0.000 0.355 0.355 0.355 -0.156 -0.001 -0.156
process[recruit_E].ycs_values{1977} 0.000 0.000 0.982 0.982 0.982 -0.127 0.001 -0.127
process[recruit_E].ycs_values{1978} 0.000 0.001 1.907 1.907 1.907 -0.131 0.001 -0.132
process[recruit_E].ycs_values{1979} 0.000 0.000 1.485 1.485 1.485 -0.107 0.000 -0.107
process[recruit_E].ycs_values{1980} 0.000 0.000 1.512 1.512 1.512 -0.073 0.000 -0.073
process[recruit_E].ycs_values{1981} 0.000 0.000 1.712 1.712 1.712 -0.072 0.000 -0.072
process[recruit_E].ycs_values{1982} 0.000 0.000 1.551 1.551 1.551 -0.055 0.000 -0.055
process[recruit_E].ycs_values{1983} 0.000 0.000 1.559 1.559 1.559 0.013 0.000 0.013
process[recruit_E].ycs_values{1984} 0.000 0.000 1.229 1.229 1.229 -0.022 0.000 -0.022
process[recruit_E].ycs_values{1985} 0.000 0.000 1.102 1.102 1.102 -0.009 0.000 -0.009
process[recruit_E].ycs_values{1986} 0.000 0.000 0.850 0.850 0.850 -0.022 -0.000 -0.022
process[recruit_E].ycs_values{1987} 0.000 0.000 0.472 0.472 0.472 0.035 0.000 0.035
process[recruit_E].ycs_values{1988} 0.000 0.000 0.471 0.471 0.471 0.032 -0.000 0.032
process[recruit_E].ycs_values{1989} 0.000 0.000 0.455 0.455 0.455 -0.040 0.000 -0.040
process[recruit_E].ycs_values{1990} 0.000 0.000 -0.101 -0.101 -0.101 -0.009 0.000 -0.009
process[recruit_E].ycs_values{1991} 0.000 0.000 -0.307 -0.307 -0.307 0.135 0.000 0.135
process[recruit_E].ycs_values{1992} 0.000 0.000 -0.787 -0.787 -0.787 0.259 -0.000 0.259
process[recruit_E].ycs_values{1993} 0.000 0.000 -0.831 -0.831 -0.831 0.016 0.000 0.016
process[recruit_E].ycs_values{1994} 0.000 0.000 -0.880 -0.880 -0.880 0.122 -0.000 0.122
process[recruit_E].ycs_values{1995} 0.000 0.000 -0.843 -0.843 -0.843 -0.002 0.000 -0.002
process[recruit_E].ycs_values{1996} 0.000 0.000 -0.695 -0.695 -0.695 0.008 0.000 0.008
process[recruit_E].ycs_values{1997} 0.000 0.000 -0.496 -0.496 -0.496 0.049 0.000 0.049
process[recruit_E].ycs_values{1998} 0.000 0.000 -0.170 -0.170 -0.170 0.061 0.000 0.061
process[recruit_E].ycs_values{1999} 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
process[recruit_E].ycs_values{2000} 0.000 0.000 -0.449 -0.449 -0.449 0.057 0.000 0.057
process[recruit_E].ycs_values{2001} 0.000 0.000 -0.489 -0.489 -0.489 -0.007 0.000 -0.007
process[recruit_E].ycs_values{2002} 0.000 0.000 -0.294 -0.294 -0.294 0.191 0.000 0.191
process[recruit_E].ycs_values{2003} 0.000 0.000 -0.159 -0.159 -0.159 0.031 0.000 0.031
process[recruit_E].ycs_values{2004} 0.000 0.000 0.096 0.096 0.096 0.043 -0.000 0.043
process[recruit_E].ycs_values{2005} 0.000 0.000 -0.233 -0.233 -0.233 0.021 0.000 0.021
process[recruit_E].ycs_values{2006} 0.000 0.000 -0.070 -0.070 -0.070 0.046 -0.000 0.046
process[recruit_E].ycs_values{2007} 0.000 0.000 -0.245 -0.245 -0.245 0.014 -0.000 0.014
process[recruit_E].ycs_values{2008} 0.000 0.000 -0.500 -0.500 -0.500 0.184 0.000 0.184
process[recruit_E].ycs_values{2009} 0.000 0.000 0.206 0.206 0.206 0.007 0.000 0.007
process[recruit_E].ycs_values{2010} 0.000 0.000 -1.074 -1.074 -1.074 0.032 -0.001 0.032
process[recruit_E].ycs_values{2011} 0.000 0.000 -0.017 -0.017 -0.017 0.028 0.000 0.028
process[recruit_E].ycs_values{2012} 0.000 -0.001 -0.294 -0.294 -0.294 -0.031 -0.001 -0.031
process[recruit_E].ycs_values{2013} 0.000 0.000 -0.355 -0.355 -0.355 0.002 0.000 0.002
process[recruit_E].ycs_values{2014} 0.000 0.000 -0.299 -0.299 -0.299 0.049 0.000 0.049
process[recruit_E].ycs_values{2015} 0.000 0.000 2.230 2.230 2.230 0.469 -0.002 0.469
process[recruit_E].ycs_values{2016} 0.000 0.000 -0.529 -0.529 -0.529 -0.045 0.000 -0.045
process[recruit_W].ycs_values{1975} 0.000 -0.000 0.365 0.365 0.365 -0.006 0.001 -0.005
process[recruit_W].ycs_values{1976} 0.000 -0.000 -0.978 -0.978 -0.978 -0.014 -0.001 -0.014
process[recruit_W].ycs_values{1977} 0.000 0.000 2.210 2.210 2.210 0.031 0.000 0.031
process[recruit_W].ycs_values{1978} 0.000 0.000 2.311 2.311 2.311 0.048 -0.000 0.048
process[recruit_W].ycs_values{1979} 0.000 0.000 1.517 1.517 1.517 0.067 -0.000 0.067
process[recruit_W].ycs_values{1980} 0.000 0.000 1.061 1.061 1.061 0.023 -0.000 0.023
process[recruit_W].ycs_values{1981} 0.000 0.000 0.892 0.892 0.892 0.027 -0.000 0.027
process[recruit_W].ycs_values{1982} 0.000 0.000 0.284 0.284 0.284 0.047 0.000 0.047
process[recruit_W].ycs_values{1983} 0.000 -0.000 0.133 0.133 0.133 -0.076 -0.000 -0.076
process[recruit_W].ycs_values{1984} 0.000 0.000 -0.016 -0.016 -0.016 -0.125 0.000 -0.125
process[recruit_W].ycs_values{1985} 0.000 0.000 -0.257 -0.257 -0.257 -0.103 0.000 -0.103
process[recruit_W].ycs_values{1986} 0.000 0.000 -0.021 -0.021 -0.021 0.055 0.000 0.055
process[recruit_W].ycs_values{1987} 0.000 0.000 0.305 0.305 0.305 -0.040 0.000 -0.039
process[recruit_W].ycs_values{1988} 0.000 0.000 0.229 0.229 0.229 -0.099 0.000 -0.099
process[recruit_W].ycs_values{1989} 0.000 0.000 0.160 0.160 0.160 0.003 0.000 0.003
process[recruit_W].ycs_values{1990} 0.000 0.000 0.304 0.304 0.304 0.037 0.000 0.037
process[recruit_W].ycs_values{1991} 0.000 0.000 -0.093 -0.093 -0.093 0.009 -0.000 0.009
process[recruit_W].ycs_values{1992} 0.000 0.000 -0.017 -0.017 -0.017 -0.021 0.000 -0.021
process[recruit_W].ycs_values{1993} 0.000 0.000 -0.185 -0.185 -0.185 0.011 0.000 0.011
process[recruit_W].ycs_values{1994} 0.000 -0.000 -0.377 -0.377 -0.377 0.023 -0.000 0.023
process[recruit_W].ycs_values{1995} 0.000 0.000 -0.392 -0.392 -0.392 0.054 0.000 0.054
process[recruit_W].ycs_values{1996} 0.000 0.000 -0.440 -0.440 -0.440 0.028 0.000 0.028
process[recruit_W].ycs_values{1997} 0.000 0.000 -0.643 -0.643 -0.643 -0.147 0.000 -0.147
process[recruit_W].ycs_values{1998} 0.000 0.000 -1.251 -1.251 -1.251 -0.099 0.000 -0.099
process[recruit_W].ycs_values{1999} 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
process[recruit_W].ycs_values{2000} 0.000 0.000 -0.581 -0.581 -0.581 -0.118 0.000 -0.118
process[recruit_W].ycs_values{2001} 0.000 0.000 -0.446 -0.446 -0.446 -0.037 0.000 -0.037
process[recruit_W].ycs_values{2002} 0.000 0.000 -0.007 -0.007 -0.007 -0.029 0.000 -0.029
process[recruit_W].ycs_values{2003} 0.000 -0.000 0.114 0.114 0.114 -0.039 -0.000 -0.039
process[recruit_W].ycs_values{2004} 0.000 0.000 0.191 0.191 0.191 -0.045 0.000 -0.045
process[recruit_W].ycs_values{2005} 0.000 -0.000 0.349 0.349 0.349 -0.017 -0.000 -0.017
process[recruit_W].ycs_values{2006} 0.000 0.000 -0.091 -0.091 -0.091 -0.015 0.000 -0.015
process[recruit_W].ycs_values{2007} 0.000 0.000 -0.312 -0.312 -0.312 0.026 0.000 0.026
process[recruit_W].ycs_values{2008} 0.000 0.000 -0.198 -0.198 -0.198 -0.080 -0.000 -0.081
process[recruit_W].ycs_values{2009} 0.000 -0.000 -0.934 -0.934 -0.934 0.024 -0.000 0.024
process[recruit_W].ycs_values{2010} 0.000 -0.001 0.482 0.482 0.482 -0.056 -0.001 -0.056
process[recruit_W].ycs_values{2011} 0.000 0.000 -0.796 -0.796 -0.796 0.041 0.000 0.041
process[recruit_W].ycs_values{2012} 0.000 0.000 -0.674 -0.674 -0.674 0.075 0.000 0.075
process[recruit_W].ycs_values{2013} 0.000 0.000 -0.172 -0.172 -0.172 0.052 0.000 0.052
process[recruit_W].ycs_values{2014} 0.000 0.000 -0.460 -0.460 -0.460 0.081 0.000 0.081
process[recruit_W].ycs_values{2015} 0.000 0.000 -0.207 -0.207 -0.207 -0.098 0.000 -0.098
process[recruit_W].ycs_values{2016} 0.000 0.000 -0.530 -0.530 -0.530 -0.045 0.000 -0.045
selectivity[sel_Whome].v{1}             0.000 0.000 -1.833 -1.833 -1.833 0.177 0.000 0.177
selectivity[sel_Whome].v{2}             0.000 0.000 -8.027 -8.027 -8.027 0.370 -0.000 0.370
selectivity[sel_Whome].v{3}             0.000 -0.000 -3.584 -3.584 -3.584 0.429 -0.000 0.429
selectivity[sel_Whome].v{4}             0.000 0.001 -4.690 -4.690 -4.690 0.341 -0.004 0.341
selectivity[sel_Whome].v{5}             0.000 -0.000 -6.974 -6.974 -6.974 1.401 0.001 1.401
selectivity[sel_Whome].v{6}             0.000 -0.001 -5.942 -5.942 -5.942 -1.514 -0.005 -1.514
selectivity[sel_Whome].v{7}             0.000 -0.004 21.145 21.145 21.145 24.025 -0.013 24.025
selectivity[sel_Espmg].v{1}             0.000 0.000 -0.332 -0.332 -0.332 0.080 0.000 0.080
selectivity[sel_Espmg].v{2}             0.000 0.000 -0.683 -0.683 -0.683 0.073 0.000 0.073
selectivity[sel_Espmg].v{3}             0.000 0.000 -1.028 -1.028 -1.028 0.078 0.000 0.078
selectivity[sel_Espmg].v{4}             0.000 0.000 -1.354 -1.354 -1.354 0.079 0.000 0.079
selectivity[sel_Espmg].v{5}             0.000 0.000 -1.563 -1.563 -1.563 0.069 0.000 0.069
selectivity[sel_Espmg].v{6}             0.000 0.000 -1.436 -1.436 -1.436 0.063 0.000 0.063
selectivity[sel_Espmg].v{7}             0.000 0.000 -1.389 -1.389 -1.389 0.062 -0.000 0.062
selectivity[sel_Espmg].v{8}             0.000 0.000 0.528 0.528 0.528 0.060 0.000 0.060
selectivity[sel_Wspmg].v{1}             0.000 0.000 -0.552 -0.552 -0.552 0.033 0.001 0.033
selectivity[sel_Wspmg].v{2}             0.000 0.000 1.242 1.242 1.242 -0.010 0.000 -0.010
selectivity[sel_Wspmg].v{3}             0.000 0.000 -0.029 -0.029 -0.029 0.008 0.000 0.008
selectivity[sel_Wspmg].v{4}             0.000 0.000 0.004 0.004 0.004 0.017 0.000 0.017
selectivity[sel_Wspmg].v{5}             0.000 0.000 -0.092 -0.092 -0.092 -0.026 0.000 -0.026
selectivity[sel_Wspmg].v{6}             0.000 0.000 -0.409 -0.409 -0.409 0.187 0.000 0.187
selectivity[sel_Wspmg].v{7}             0.000 0.000 -1.170 -1.170 -1.170 -0.449 0.000 -0.449
selectivity[sel_Wspmg].v{8}             0.000 0.000 0.875 0.875 0.875 0.087 0.000 0.087
selectivity[Enspsl].mu               0.000 0.000 0.168 0.168 0.168 0.025 0.000 0.025
selectivity[Enspsl].sigma_l          0.000 0.000 0.112 0.112 0.112 0.032 0.000 0.032
selectivity[Enspsl].sigma_r          0.000 0.001 68.573 68.573 68.573 0.000 0.000 0.000
selectivity[Wnspsl].mu               0.000 0.000 -0.240 -0.240 -0.240 -0.021 0.000 -0.021
selectivity[Wnspsl].sigma_l          0.000 0.000 -2.203 -2.203 -2.203 -0.011 0.000 -0.011
selectivity[Wnspsl].sigma_r          0.000 0.000 73.242 73.242 73.242 0.000 0.022 0.000
selectivity[Espsl].mu               0.000 0.000 3.357 3.357 3.357 0.018 0.000 0.018
selectivity[Espsl].sigma_l          0.000 0.000 -7.454 -7.454 -7.454 0.074 0.000 0.074
selectivity[Espsl].sigma_r          0.000 0.000 1.108 1.108 1.108 -0.071 0.000 -0.071
selectivity[CRsl].mu               0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
selectivity[CRsl].sigma_l          0.000 0.006 1.070 45.142 45.142 0.001 0.000 0.001
selectivity[CRsl].sigma_r          0.000 0.000 7.851 7.851 7.851 0.050 0.000 0.050
selectivity[SAsl].mu               0.000 0.000 4.144 4.144 4.144 0.025 0.000 0.025
selectivity[SAsl].sigma_l          0.000 0.000 -0.700 -0.700 -0.700 0.022 -0.000 0.022
selectivity[SAsl].sigma_r          0.000 0.000 -31.519 -31.519 -31.519 0.000 0.000 0.000

CASAL objective function component values
Component Base_Model Sensitivity_1
CRsumbio -31.032 -31.032
CSacous -9.835 -9.836
SAautbio -3.984 -3.984
SAsumbio -6.146 -6.146
WCacous -5.916 -5.916
CRsumage 323.850 323.850
SAautage 35.117 35.118
SAsumage 221.149 221.150
EnspOLF 24.276 24.276
Enspage 256.069 256.068
Espage 581.502 581.502
WnspOLF 70.250 70.250
Wnspage 157.004 157.004
Wspage 364.751 364.751
pspawn -13.129 -13.129
pspawn_1993 -6.015 -6.015
prior_on_q[CSacous].q -0.839 -0.839
prior_on_q[WCacous].q -1.202 -1.202
prior_on_q[CRsum].q -2.207 -2.207
prior_on_q[SAsum].q -1.557 -1.557
prior_on_q[SAaut].q -1.762 -1.762
prior_on_relative_abundance[CRsumbio].cv_process_error 0.000 0.000
prior_on_relative_abundance[SAsumbio].cv_process_error 0.000 0.000
prior_on_log_B0_total 0.000 0.000
prior_on_B0_prop_stock1 12.555 12.555
prior_on_natural_mortality.all -1.217 -1.217
prior_on_selectivity[Wspsl].shift_a 0.378 0.378
prior_on_recruitment[E].YCS -13.750 -13.750
prior_on_recruitment[W].YCS -1.785 -1.785
prior_on_migration[Whome].rates_all 0.000 0.000
prior_on_migration[Espmg].rates_all 0.000 0.000
prior_on_migration[Wspmg].rates_all 0.000 0.000
prior_on_selectivity[Enspsl].all 0.000 0.000
prior_on_selectivity[Wnspsl].all 0.000 0.000
prior_on_selectivity[Espsl].all 0.000 0.000
prior_on_selectivity[CRsl].all 0.000 0.000
prior_on_selectivity[SAsl].all 0.000 0.000
Umax_Ensp1 0.000 0.000
Umax_Ensp2 0.000 0.000
Umax_Wnsp1 0.000 0.000
Umax_Wnsp2 0.000 0.000
Umax_Esp 0.000 0.000
Umax_Wsp 0.000 0.000
YCS.eq.16 0.000 0.000
sp.migr 0.013 0.013
Total 1946.540 1946.540
Casal2 objective function component values
rownames betadiff_casal_flags_on betadiff_casal_flags_off betadiff_casal_flags_on_low_tol cppad_casal_flags_on cppad_casal_flags_off adolc_casal_flags_on adolc_casal_flags_off adolc_casal_flags_on_low_tol
observation->CSacous-1991                  2.342 2.342 2.404 2.404 2.404 2.344 2.342 2.344
observation->CSacous-1993                  -0.577 -0.577 -0.588 -0.588 -0.588 -0.577 -0.577 -0.577
observation->CSacous-1994                  -0.016 -0.016 -0.030 -0.030 -0.030 -0.016 -0.016 -0.016
observation->CSacous-1995                  -0.562 -0.562 -0.567 -0.567 -0.567 -0.562 -0.562 -0.562
observation->CSacous-1996                  -0.027 -0.027 0.013 0.013 0.013 -0.027 -0.026 -0.027
observation->CSacous-1997                  -0.912 -0.912 -0.899 -0.899 -0.899 -0.912 -0.912 -0.912
observation->CSacous-1998                  -0.054 -0.054 -0.004 -0.004 -0.004 -0.055 -0.054 -0.055
observation->CSacous-1999                  -1.025 -1.025 -1.012 -1.012 -1.012 -1.025 -1.025 -1.025
observation->CSacous-2001                  -1.217 -1.217 -1.211 -1.211 -1.211 -1.217 -1.217 -1.217
observation->CSacous-2002                  -0.297 -0.297 -0.338 -0.338 -0.338 -0.297 -0.297 -0.297
observation->CSacous-2003                  -0.845 -0.845 -0.863 -0.863 -0.863 -0.845 -0.845 -0.845
observation->CSacous-2005                  -0.929 -0.929 -0.927 -0.927 -0.927 -0.929 -0.929 -0.929
observation->CSacous-2006                  -0.939 -0.939 -0.950 -0.950 -0.950 -0.939 -0.939 -0.939
observation->CSacous-2007                  -0.623 -0.623 -0.600 -0.600 -0.600 -0.623 -0.623 -0.623
observation->CSacous-2008                  -1.094 -1.094 -1.125 -1.125 -1.125 -1.094 -1.094 -1.094
observation->CSacous-2009                  -0.185 -0.185 -0.110 -0.110 -0.110 -0.186 -0.185 -0.186
observation->CSacous-2011                  -1.021 -1.021 -1.000 -1.000 -1.000 -1.021 -1.021 -1.021
observation->CSacous-2013                  -0.892 -0.892 -0.855 -0.855 -0.855 -0.892 -0.892 -0.892
observation->CSacous-2015                  -0.190 -0.190 -0.150 -0.150 -0.150 -0.191 -0.190 -0.191
observation->CSacous-2017                  -1.020 -1.020 -1.021 -1.021 -1.021 -1.020 -1.020 -1.020
observation->WCacous-1988                  -0.588 -0.588 -0.588 -0.588 -0.588 -0.588 -0.588 -0.588
observation->WCacous-1989                  -0.183 -0.183 -0.168 -0.168 -0.168 -0.184 -0.183 -0.184
observation->WCacous-1990                  -0.332 -0.332 -0.327 -0.327 -0.327 -0.331 -0.332 -0.331
observation->WCacous-1991                  -0.425 -0.425 -0.425 -0.425 -0.425 -0.425 -0.425 -0.425
observation->WCacous-1992                  -0.744 -0.744 -0.744 -0.744 -0.744 -0.744 -0.744 -0.744
observation->WCacous-1993                  -0.369 -0.369 -0.374 -0.374 -0.374 -0.371 -0.369 -0.371
observation->WCacous-1997                  -0.054 -0.054 -0.043 -0.043 -0.043 -0.055 -0.054 -0.055
observation->WCacous-2000                  -1.265 -1.265 -1.272 -1.272 -1.272 -1.264 -1.265 -1.264
observation->WCacous-2012                  -0.906 -0.906 -0.896 -0.896 -0.896 -0.906 -0.906 -0.906
observation->WCacous-2013                  -1.079 -1.079 -1.079 -1.079 -1.079 -1.079 -1.079 -1.079
observation->CRsumbio-1992                  -1.634 -1.634 -1.647 -1.647 -1.647 -1.634 -1.634 -1.634
observation->CRsumbio-1993                  0.040 0.040 0.043 0.043 0.043 0.041 0.040 0.041
observation->CRsumbio-1994                  -1.760 -1.760 -1.760 -1.760 -1.760 -1.761 -1.760 -1.761
observation->CRsumbio-1995                  -1.425 -1.425 -1.406 -1.406 -1.406 -1.431 -1.425 -1.431
observation->CRsumbio-1996                  -1.690 -1.690 -1.699 -1.699 -1.699 -1.691 -1.690 -1.691
observation->CRsumbio-1997                  -0.607 -0.607 -0.635 -0.635 -0.635 -0.609 -0.607 -0.609
observation->CRsumbio-1998                  -1.203 -1.203 -1.210 -1.210 -1.210 -1.205 -1.203 -1.205
observation->CRsumbio-1999                  -0.953 -0.953 -0.919 -0.919 -0.919 -0.950 -0.953 -0.950
observation->CRsumbio-2000                  -1.629 -1.629 -1.632 -1.632 -1.632 -1.629 -1.629 -1.629
observation->CRsumbio-2001                  -1.773 -1.773 -1.775 -1.775 -1.775 -1.773 -1.773 -1.773
observation->CRsumbio-2002                  -1.209 -1.209 -1.206 -1.206 -1.206 -1.205 -1.209 -1.205
observation->CRsumbio-2003                  -1.749 -1.749 -1.744 -1.744 -1.744 -1.748 -1.749 -1.748
observation->CRsumbio-2004                  -0.818 -0.818 -0.803 -0.803 -0.803 -0.821 -0.818 -0.821
observation->CRsumbio-2005                  -1.471 -1.471 -1.477 -1.477 -1.477 -1.470 -1.471 -1.470
observation->CRsumbio-2006                  -1.314 -1.314 -1.306 -1.306 -1.306 -1.314 -1.314 -1.314
observation->CRsumbio-2007                  -0.727 -0.727 -0.756 -0.756 -0.756 -0.726 -0.727 -0.726
observation->CRsumbio-2008                  -0.373 -0.373 -0.402 -0.402 -0.402 -0.376 -0.373 -0.376
observation->CRsumbio-2009                  -0.586 -0.586 -0.559 -0.559 -0.559 -0.587 -0.586 -0.587
observation->CRsumbio-2010                  -1.349 -1.349 -1.359 -1.359 -1.359 -1.350 -1.349 -1.350
observation->CRsumbio-2011                  -1.096 -1.096 -1.105 -1.105 -1.105 -1.094 -1.096 -1.094
observation->CRsumbio-2012                  -1.439 -1.439 -1.448 -1.448 -1.448 -1.438 -1.439 -1.438
observation->CRsumbio-2013                  -1.494 -1.494 -1.491 -1.491 -1.491 -1.494 -1.494 -1.494
observation->CRsumbio-2014                  -1.768 -1.768 -1.770 -1.770 -1.770 -1.768 -1.768 -1.768
observation->CRsumbio-2016                  -1.410 -1.410 -1.411 -1.411 -1.411 -1.411 -1.410 -1.411
observation->CRsumbio-2018                  -1.552 -1.552 -1.554 -1.554 -1.554 -1.552 -1.552 -1.552
observation->SAsumbio-1992                  -0.597 -0.597 -0.588 -0.588 -0.588 -0.596 -0.597 -0.596
observation->SAsumbio-1993                  -0.314 -0.314 -0.309 -0.309 -0.309 -0.314 -0.314 -0.314
observation->SAsumbio-1994                  0.196 0.196 0.186 0.186 0.186 0.194 0.196 0.194
observation->SAsumbio-2001                  -0.835 -0.835 -0.822 -0.822 -0.822 -0.834 -0.835 -0.834
observation->SAsumbio-2002                  -0.794 -0.794 -0.777 -0.777 -0.777 -0.794 -0.794 -0.794
observation->SAsumbio-2003                  -0.837 -0.837 -0.825 -0.825 -0.825 -0.836 -0.837 -0.836
observation->SAsumbio-2004                  0.732 0.732 0.734 0.734 0.734 0.735 0.732 0.735
observation->SAsumbio-2005                  -0.258 -0.258 -0.218 -0.218 -0.218 -0.255 -0.258 -0.255
observation->SAsumbio-2006                  -0.600 -0.600 -0.558 -0.558 -0.558 -0.598 -0.600 -0.598
observation->SAsumbio-2007                  0.636 0.636 0.654 0.654 0.654 0.637 0.636 0.637
observation->SAsumbio-2008                  -0.461 -0.461 -0.462 -0.462 -0.462 -0.463 -0.461 -0.463
observation->SAsumbio-2009                  -0.585 -0.585 -0.583 -0.583 -0.583 -0.584 -0.585 -0.584
observation->SAsumbio-2010                  -0.143 -0.143 -0.147 -0.147 -0.147 -0.146 -0.143 -0.146
observation->SAsumbio-2012                  -0.848 -0.848 -0.835 -0.835 -0.835 -0.848 -0.848 -0.848
observation->SAsumbio-2013                  -0.797 -0.797 -0.786 -0.786 -0.786 -0.796 -0.797 -0.796
observation->SAsumbio-2015                  -0.200 -0.200 -0.189 -0.189 -0.189 -0.201 -0.200 -0.201
observation->SAsumbio-2017                  -0.638 -0.638 -0.620 -0.620 -0.620 -0.638 -0.638 -0.638
observation->SAautbio-1992                  -1.459 -1.459 -1.450 -1.450 -1.450 -1.460 -1.459 -1.460
observation->SAautbio-1996                  -1.233 -1.233 -1.250 -1.250 -1.250 -1.232 -1.233 -1.232
observation->SAautbio-1998                  -1.308 -1.308 -1.284 -1.284 -1.284 -1.306 -1.308 -1.306
observation->Espage-1988                  19.793 19.793 19.640 19.640 19.640 19.790 19.793 19.790
observation->Espage-1989                  15.858 15.858 15.862 15.862 15.862 15.857 15.858 15.857
observation->Espage-1990                  21.488 21.488 21.446 21.446 21.446 21.486 21.488 21.486
observation->Espage-1991                  20.641 20.641 20.612 20.612 20.612 20.640 20.641 20.640
observation->Espage-1992                  24.089 24.089 24.020 24.020 24.020 24.092 24.089 24.092
observation->Espage-1993                  19.305 19.305 19.328 19.328 19.328 19.304 19.305 19.304
observation->Espage-1994                  20.528 20.528 20.503 20.503 20.503 20.522 20.528 20.522
observation->Espage-1995                  22.541 22.541 22.559 22.559 22.559 22.530 22.541 22.530
observation->Espage-1996                  18.590 18.590 18.577 18.577 18.577 18.590 18.590 18.590
observation->Espage-1997                  20.974 20.974 20.964 20.964 20.964 20.978 20.974 20.978
observation->Espage-1998                  20.587 20.587 20.611 20.611 20.611 20.579 20.587 20.579
observation->Espage-1999                  22.886 22.886 22.862 22.862 22.862 22.875 22.886 22.875
observation->Espage-2000                  23.321 23.321 23.314 23.314 23.314 23.321 23.321 23.321
observation->Espage-2001                  20.735 20.735 20.773 20.773 20.773 20.735 20.735 20.735
observation->Espage-2002                  26.248 26.248 26.287 26.287 26.287 26.243 26.248 26.243
observation->Espage-2003                  19.120 19.120 19.120 19.120 19.120 19.118 19.120 19.118
observation->Espage-2004                  22.692 22.692 22.642 22.642 22.642 22.698 22.692 22.698
observation->Espage-2005                  26.122 26.122 26.070 26.070 26.070 26.120 26.122 26.120
observation->Espage-2006                  23.242 23.242 23.149 23.149 23.149 23.245 23.242 23.245
observation->Espage-2007                  25.274 25.274 25.210 25.210 25.210 25.277 25.274 25.277
observation->Espage-2008                  22.167 22.167 22.129 22.129 22.129 22.166 22.167 22.166
observation->Espage-2009                  18.691 18.691 18.690 18.690 18.690 18.691 18.691 18.691
observation->Espage-2010                  21.855 21.855 21.851 21.851 21.851 21.856 21.855 21.856
observation->Espage-2014                  20.616 20.616 20.648 20.648 20.648 20.614 20.616 20.614
observation->Espage-2015                  21.823 21.823 21.870 21.870 21.870 21.820 21.823 21.820
observation->Espage-2016                  21.204 21.204 21.204 21.204 21.204 21.203 21.204 21.203
observation->Espage-2017                  21.575 21.575 21.563 21.563 21.563 21.578 21.575 21.578
observation->Wspage-1988                  15.724 15.724 15.753 15.753 15.753 15.729 15.724 15.729
observation->Wspage-1989                  11.555 11.555 11.566 11.566 11.566 11.558 11.555 11.558
observation->Wspage-1990                  11.752 11.752 11.790 11.790 11.790 11.750 11.752 11.750
observation->Wspage-1991                  13.036 13.036 13.051 13.051 13.051 13.037 13.036 13.037
observation->Wspage-1992                  10.178 10.178 10.170 10.170 10.170 10.179 10.178 10.179
observation->Wspage-1993                  10.569 10.569 10.579 10.579 10.579 10.571 10.569 10.571
observation->Wspage-1994                  9.918 9.918 9.924 9.924 9.924 9.918 9.918 9.918
observation->Wspage-1995                  13.403 13.403 13.396 13.396 13.396 13.399 13.403 13.399
observation->Wspage-1996                  11.840 11.840 11.844 11.844 11.844 11.841 11.840 11.841
observation->Wspage-1997                  11.230 11.230 11.243 11.243 11.243 11.233 11.230 11.233
observation->Wspage-1998                  11.761 11.761 11.762 11.762 11.762 11.761 11.761 11.761
observation->Wspage-1999                  11.975 11.975 11.981 11.981 11.981 11.976 11.975 11.976
observation->Wspage-2000                  11.256 11.256 11.260 11.260 11.260 11.256 11.256 11.256
observation->Wspage-2001                  12.179 12.179 12.201 12.201 12.201 12.181 12.179 12.181
observation->Wspage-2002                  9.731 9.731 9.745 9.745 9.745 9.732 9.731 9.732
observation->Wspage-2003                  9.555 9.555 9.556 9.556 9.556 9.555 9.555 9.555
observation->Wspage-2004                  14.340 14.340 14.304 14.304 14.304 14.342 14.340 14.342
observation->Wspage-2005                  14.932 14.932 14.977 14.977 14.977 14.934 14.932 14.934
observation->Wspage-2006                  13.817 13.817 13.872 13.872 13.872 13.817 13.817 13.817
observation->Wspage-2007                  11.498 11.498 11.516 11.516 11.516 11.500 11.498 11.500
observation->Wspage-2008                  12.195 12.195 12.194 12.194 12.194 12.196 12.195 12.196
observation->Wspage-2009                  12.631 12.631 12.594 12.594 12.594 12.635 12.631 12.635
observation->Wspage-2010                  11.316 11.316 11.299 11.299 11.299 11.317 11.316 11.317
observation->Wspage-2011                  11.154 11.154 11.137 11.137 11.137 11.155 11.154 11.155
observation->Wspage-2012                  11.867 11.867 11.860 11.860 11.860 11.866 11.867 11.866
observation->Wspage-2013                  11.041 11.041 11.065 11.065 11.065 11.043 11.041 11.043
observation->Wspage-2014                  12.944 12.944 12.941 12.941 12.941 12.944 12.944 12.944
observation->Wspage-2015                  13.134 13.134 13.101 13.101 13.101 13.136 13.134 13.136
observation->Wspage-2016                  14.272 14.272 14.273 14.273 14.273 14.268 14.272 14.268
observation->Wspage-2017                  13.745 13.745 13.797 13.797 13.797 13.746 13.745 13.746
observation->EnspOLF-1992                  4.397 4.397 4.388 4.388 4.388 4.396 4.397 4.396
observation->EnspOLF-1994                  6.647 6.647 6.678 6.678 6.678 6.645 6.647 6.645
observation->EnspOLF-1996                  7.897 7.897 7.906 7.906 7.906 7.899 7.897 7.899
observation->EnspOLF-1998                  5.301 5.301 5.303 5.303 5.303 5.301 5.301 5.301
observation->Enspage-1999                  14.332 14.332 14.287 14.287 14.287 14.331 14.332 14.331
observation->Enspage-2000                  13.975 13.975 13.960 13.960 13.960 13.973 13.975 13.973
observation->Enspage-2001                  13.979 13.979 13.929 13.929 13.929 13.959 13.979 13.959
observation->Enspage-2002                  12.081 12.081 12.078 12.078 12.078 12.087 12.081 12.087
observation->Enspage-2003                  9.700 9.700 9.706 9.706 9.706 9.702 9.700 9.702
observation->Enspage-2004                  12.966 12.966 12.986 12.986 12.986 12.972 12.966 12.972
observation->Enspage-2005                  11.012 11.012 11.009 11.009 11.009 11.009 11.012 11.009
observation->Enspage-2006                  12.741 12.741 12.712 12.712 12.712 12.744 12.741 12.744
observation->Enspage-2007                  11.061 11.061 11.052 11.052 11.052 11.060 11.061 11.060
observation->Enspage-2008                  12.104 12.104 12.101 12.101 12.101 12.100 12.104 12.100
observation->Enspage-2009                  10.056 10.056 10.055 10.055 10.055 10.055 10.056 10.055
observation->Enspage-2010                  17.581 17.581 17.627 17.627 17.627 17.576 17.581 17.576
observation->Enspage-2011                  13.399 13.399 13.412 13.412 13.412 13.402 13.399 13.402
observation->Enspage-2012                  13.149 13.149 13.134 13.134 13.134 13.148 13.149 13.148
observation->Enspage-2013                  16.694 16.694 16.659 16.659 16.659 16.691 16.694 16.691
observation->Enspage-2014                  13.869 13.869 13.870 13.870 13.870 13.868 13.869 13.868
observation->Enspage-2015                  12.760 12.760 12.776 12.776 12.776 12.764 12.760 12.764
observation->Enspage-2016                  19.224 19.224 19.203 19.203 19.203 19.222 19.224 19.222
observation->Enspage-2017                  15.562 15.562 15.511 15.511 15.511 15.552 15.562 15.552
observation->WnspOLF-1992                  10.122 10.122 10.129 10.129 10.129 10.124 10.122 10.124
observation->WnspOLF-1993                  9.045 9.045 8.991 8.991 8.991 9.047 9.045 9.047
observation->WnspOLF-1994                  15.930 15.930 15.893 15.893 15.893 15.931 15.930 15.931
observation->WnspOLF-1996                  9.788 9.788 9.752 9.752 9.752 9.784 9.788 9.784
observation->WnspOLF-1999                  11.554 11.553 11.593 11.593 11.593 11.553 11.553 11.553
observation->WnspOLF-2000                  13.812 13.812 13.892 13.892 13.892 13.817 13.812 13.817
observation->Wnspage-2001                  8.032 8.032 7.994 7.994 7.994 8.036 8.032 8.036
observation->Wnspage-2002                  8.715 8.715 8.701 8.701 8.701 8.714 8.715 8.714
observation->Wnspage-2003                  10.473 10.473 10.507 10.507 10.507 10.473 10.473 10.473
observation->Wnspage-2004                  7.155 7.155 7.140 7.140 7.140 7.154 7.155 7.154
observation->Wnspage-2006                  9.589 9.589 9.551 9.551 9.551 9.590 9.589 9.590
observation->Wnspage-2007                  10.861 10.861 10.822 10.822 10.822 10.860 10.861 10.860
observation->Wnspage-2008                  12.425 12.425 12.435 12.435 12.435 12.422 12.425 12.422
observation->Wnspage-2009                  14.716 14.716 14.790 14.790 14.790 14.719 14.716 14.719
observation->Wnspage-2010                  11.405 11.405 11.370 11.370 11.370 11.405 11.405 11.405
observation->Wnspage-2011                  11.267 11.267 11.275 11.275 11.275 11.265 11.267 11.265
observation->Wnspage-2012                  10.454 10.454 10.465 10.465 10.465 10.453 10.454 10.453
observation->Wnspage-2013                  13.633 13.633 13.634 13.634 13.634 13.634 13.633 13.634
observation->Wnspage-2014                  12.608 12.608 12.597 12.597 12.597 12.609 12.608 12.609
observation->Wnspage-2016                  15.687 15.687 15.722 15.722 15.722 15.683 15.687 15.683
observation->CRsumage-1992                  15.584 15.584 15.566 15.566 15.566 15.570 15.584 15.570
observation->CRsumage-1993                  10.616 10.616 10.624 10.624 10.624 10.613 10.616 10.613
observation->CRsumage-1994                  18.170 18.170 18.130 18.130 18.130 18.174 18.170 18.174
observation->CRsumage-1995                  14.285 14.285 14.242 14.242 14.242 14.287 14.285 14.287
observation->CRsumage-1996                  11.567 11.567 11.607 11.607 11.607 11.566 11.567 11.566
observation->CRsumage-1997                  15.754 15.754 15.688 15.688 15.688 15.750 15.754 15.750
observation->CRsumage-1998                  14.690 14.690 14.690 14.690 14.690 14.686 14.690 14.686
observation->CRsumage-1999                  12.061 12.061 12.084 12.084 12.084 12.061 12.061 12.061
observation->CRsumage-2000                  14.323 14.323 14.283 14.283 14.283 14.326 14.323 14.326
observation->CRsumage-2001                  19.659 19.659 19.520 19.520 19.520 19.651 19.659 19.651
observation->CRsumage-2002                  10.969 10.969 10.960 10.960 10.960 10.971 10.969 10.971
observation->CRsumage-2003                  11.251 11.251 11.210 11.210 11.210 11.254 11.251 11.254
observation->CRsumage-2004                  9.553 9.553 9.561 9.561 9.561 9.556 9.553 9.556
observation->CRsumage-2005                  12.753 12.753 12.654 12.654 12.654 12.749 12.753 12.749
observation->CRsumage-2006                  10.316 10.316 10.317 10.317 10.317 10.317 10.316 10.317
observation->CRsumage-2007                  13.562 13.562 13.504 13.504 13.504 13.561 13.562 13.561
observation->CRsumage-2008                  11.661 11.661 11.639 11.639 11.639 11.665 11.661 11.665
observation->CRsumage-2009                  12.006 12.006 11.965 11.965 11.965 12.002 12.006 12.002
observation->CRsumage-2010                  11.048 11.048 11.055 11.055 11.055 11.052 11.048 11.052
observation->CRsumage-2011                  12.579 12.579 12.571 12.571 12.571 12.577 12.579 12.577
observation->CRsumage-2012                  17.228 17.228 17.141 17.141 17.141 17.230 17.228 17.230
observation->CRsumage-2013                  11.843 11.843 11.822 11.822 11.822 11.845 11.843 11.845
observation->CRsumage-2014                  11.286 11.286 11.271 11.271 11.271 11.288 11.286 11.288
observation->CRsumage-2016                  9.866 9.866 9.847 9.847 9.847 9.867 9.866 9.867
observation->CRsumage-2018                  11.931 11.931 11.895 11.895 11.895 11.935 11.931 11.935
observation->SAsumage-1992                  12.246 12.246 12.269 12.269 12.269 12.241 12.246 12.241
observation->SAsumage-1993                  12.470 12.470 12.502 12.502 12.502 12.483 12.470 12.483
observation->SAsumage-1994                  10.811 10.811 10.818 10.818 10.818 10.808 10.811 10.808
observation->SAsumage-2001                  12.749 12.749 12.839 12.839 12.839 12.762 12.749 12.762
observation->SAsumage-2002                  12.209 12.209 12.254 12.254 12.254 12.216 12.209 12.216
observation->SAsumage-2003                  13.386 13.386 13.386 13.386 13.386 13.388 13.386 13.388
observation->SAsumage-2004                  11.067 11.067 11.005 11.005 11.005 11.064 11.067 11.064
observation->SAsumage-2005                  15.278 15.278 15.386 15.386 15.386 15.280 15.278 15.280
observation->SAsumage-2006                  14.112 14.112 14.078 14.078 14.078 14.110 14.112 14.110
observation->SAsumage-2007                  10.649 10.649 10.639 10.639 10.639 10.649 10.649 10.649
observation->SAsumage-2008                  13.771 13.771 13.836 13.836 13.836 13.766 13.771 13.766
observation->SAsumage-2009                  15.513 15.513 15.530 15.530 15.530 15.520 15.513 15.520
observation->SAsumage-2010                  15.081 15.081 15.130 15.130 15.130 15.082 15.081 15.082
observation->SAsumage-2012                  13.437 13.437 13.479 13.479 13.479 13.439 13.437 13.439
observation->SAsumage-2013                  11.954 11.954 11.982 11.982 11.982 11.956 11.954 11.956
observation->SAsumage-2015                  13.522 13.522 13.540 13.540 13.540 13.524 13.522 13.524
observation->SAsumage-2017                  12.492 12.492 12.478 12.478 12.478 12.487 12.492 12.487
observation->SAautage-1992                  11.809 11.809 11.857 11.857 11.857 11.819 11.809 11.819
observation->SAautage-1996                  10.449 10.449 10.426 10.426 10.426 10.450 10.449 10.450
observation->SAautage-1998                  12.809 12.809 12.835 12.835 12.835 12.810 12.809 12.810
observation->pspawn_1993                  -6.017 -6.017 -6.015 -6.015 -6.015 -6.016 -6.017 -6.016
observation->pspawn-1992                  -4.848 -4.848 -4.829 -4.829 -4.829 -4.852 -4.848 -4.852
observation->pspawn-1998                  -8.284 -8.284 -8.300 -8.300 -8.300 -8.291 -8.284 -8.291
prior->CSacousq->catchability[CSacous].q                -0.849 -0.849 -0.839 -0.839 -0.839 -0.847 -0.849 -0.847
prior->WCacousq->catchability[WCacous].q                -1.162 -1.162 -1.202 -1.202 -1.202 -1.163 -1.162 -1.163
prior->CRsumq->catchability[CRsum].q                -2.155 -2.155 -2.207 -2.207 -2.207 -2.153 -2.155 -2.153
prior->SAsumq->catchability[SAsum].q                -1.762 -1.762 -1.557 -1.557 -1.557 -1.760 -1.762 -1.760
prior->SAautq->catchability[SAaut].q                -1.913 -1.913 -1.762 -1.762 -1.762 -1.911 -1.913 -1.911
prior->CR_process_error->observation[CRsumbio].process_error    0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->SA_process_error->observation[SAsumbio].process_error    0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->B0_E_with_total_log_b0_prior->process[recruit_E].b0               0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->B0_W_with_proportion_prior->process[recruit_W].b0               12.544 12.544 12.555 12.555 12.555 12.545 12.544 12.545
prior->M_all->process[Instant_mortality].m{west.sa}              -1.085 -1.085 -1.217 -1.217 -1.217 -1.083 -1.085 -1.083
prior->Wspsl_shift_param->time_varying[shifted_mu].a                0.420 0.420 0.378 0.378 0.378 0.422 0.420 0.422
prior->YCS_E->process[recruit_E].ycs_values{1975} -0.624 -0.624 -0.623 -0.623 -0.623 -0.624 -0.624 -0.624
prior->YCS_E->process[recruit_E].ycs_values{1976} -0.316 -0.316 -0.319 -0.319 -0.319 -0.314 -0.316 -0.314
prior->YCS_E->process[recruit_E].ycs_values{1977} -0.227 -0.227 -0.238 -0.238 -0.238 -0.225 -0.227 -0.225
prior->YCS_E->process[recruit_E].ycs_values{1978} 0.654 0.654 0.615 0.615 0.615 0.656 0.654 0.656
prior->YCS_E->process[recruit_E].ycs_values{1979} 0.084 0.084 0.062 0.062 0.062 0.086 0.084 0.086
prior->YCS_E->process[recruit_E].ycs_values{1980} -0.630 -0.630 -0.627 -0.627 -0.627 -0.630 -0.630 -0.630
prior->YCS_E->process[recruit_E].ycs_values{1981} -0.619 -0.619 -0.623 -0.623 -0.623 -0.619 -0.619 -0.619
prior->YCS_E->process[recruit_E].ycs_values{1982} -0.550 -0.550 -0.542 -0.542 -0.542 -0.551 -0.550 -0.551
prior->YCS_E->process[recruit_E].ycs_values{1983} -0.627 -0.627 -0.630 -0.630 -0.630 -0.627 -0.627 -0.627
prior->YCS_E->process[recruit_E].ycs_values{1984} -0.591 -0.591 -0.596 -0.596 -0.596 -0.591 -0.591 -0.591
prior->YCS_E->process[recruit_E].ycs_values{1985} -0.641 -0.641 -0.642 -0.642 -0.642 -0.641 -0.641 -0.641
prior->YCS_E->process[recruit_E].ycs_values{1986} -0.408 -0.408 -0.400 -0.400 -0.400 -0.408 -0.408 -0.408
prior->YCS_E->process[recruit_E].ycs_values{1987} 0.142 0.142 0.135 0.135 0.135 0.142 0.142 0.142
prior->YCS_E->process[recruit_E].ycs_values{1988} 0.026 0.026 0.019 0.019 0.019 0.025 0.026 0.025
prior->YCS_E->process[recruit_E].ycs_values{1989} -0.631 -0.631 -0.632 -0.632 -0.632 -0.631 -0.631 -0.631
prior->YCS_E->process[recruit_E].ycs_values{1990} 0.159 0.159 0.158 0.158 0.158 0.159 0.159 0.159
prior->YCS_E->process[recruit_E].ycs_values{1991} -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643
prior->YCS_E->process[recruit_E].ycs_values{1992} -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643
prior->YCS_E->process[recruit_E].ycs_values{1993} -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643
prior->YCS_E->process[recruit_E].ycs_values{1994} -0.530 -0.530 -0.525 -0.525 -0.525 -0.531 -0.530 -0.531
prior->YCS_E->process[recruit_E].ycs_values{1995} -0.534 -0.534 -0.538 -0.538 -0.538 -0.534 -0.534 -0.534
prior->YCS_E->process[recruit_E].ycs_values{1996} -0.574 -0.574 -0.577 -0.577 -0.577 -0.573 -0.574 -0.573
prior->YCS_E->process[recruit_E].ycs_values{1997} -0.623 -0.623 -0.622 -0.622 -0.622 -0.623 -0.623 -0.623
prior->YCS_E->process[recruit_E].ycs_values{1998} -0.512 -0.512 -0.513 -0.513 -0.513 -0.511 -0.512 -0.511
prior->YCS_E->process[recruit_E].ycs_values{1999} 2.014 2.014 2.014 2.014 2.014 2.014 2.014 2.014
prior->YCS_E->process[recruit_E].ycs_values{2000} -0.616 -0.616 -0.614 -0.614 -0.614 -0.616 -0.616 -0.616
prior->YCS_E->process[recruit_E].ycs_values{2001} -0.065 -0.065 -0.071 -0.071 -0.071 -0.065 -0.065 -0.065
prior->YCS_E->process[recruit_E].ycs_values{2002} -0.543 -0.543 -0.545 -0.545 -0.545 -0.542 -0.543 -0.542
prior->YCS_E->process[recruit_E].ycs_values{2003} -0.586 -0.586 -0.585 -0.585 -0.585 -0.586 -0.586 -0.586
prior->YCS_E->process[recruit_E].ycs_values{2004} -0.568 -0.568 -0.568 -0.568 -0.568 -0.568 -0.568 -0.568
prior->YCS_E->process[recruit_E].ycs_values{2005} -0.579 -0.579 -0.578 -0.578 -0.578 -0.579 -0.579 -0.579
prior->YCS_E->process[recruit_E].ycs_values{2006} -0.483 -0.483 -0.482 -0.482 -0.482 -0.483 -0.483 -0.483
prior->YCS_E->process[recruit_E].ycs_values{2007} -0.567 -0.567 -0.566 -0.566 -0.566 -0.567 -0.567 -0.567
prior->YCS_E->process[recruit_E].ycs_values{2008} -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643
prior->YCS_E->process[recruit_E].ycs_values{2009} -0.561 -0.561 -0.562 -0.562 -0.562 -0.561 -0.561 -0.561
prior->YCS_E->process[recruit_E].ycs_values{2010} -0.031 -0.031 -0.046 -0.046 -0.046 -0.031 -0.031 -0.031
prior->YCS_E->process[recruit_E].ycs_values{2011} -0.408 -0.408 -0.408 -0.408 -0.408 -0.408 -0.408 -0.408
prior->YCS_E->process[recruit_E].ycs_values{2012} -0.019 -0.019 -0.023 -0.023 -0.023 -0.019 -0.019 -0.019
prior->YCS_E->process[recruit_E].ycs_values{2013} -0.238 -0.238 -0.242 -0.242 -0.242 -0.238 -0.238 -0.238
prior->YCS_E->process[recruit_E].ycs_values{2014} -0.317 -0.317 -0.314 -0.314 -0.314 -0.317 -0.317 -0.317
prior->YCS_E->process[recruit_E].ycs_values{2015} -0.279 -0.279 -0.302 -0.302 -0.302 -0.284 -0.279 -0.284
prior->YCS_E->process[recruit_E].ycs_values{2016} 0.363 0.363 0.373 0.373 0.373 0.364 0.363 0.364
prior->YCS_W->process[recruit_W].ycs_values{1975} -0.616 -0.616 -0.617 -0.617 -0.617 -0.616 -0.616 -0.616
prior->YCS_W->process[recruit_W].ycs_values{1976} -0.195 -0.195 -0.184 -0.184 -0.184 -0.195 -0.195 -0.195
prior->YCS_W->process[recruit_W].ycs_values{1977} -0.376 -0.376 -0.396 -0.396 -0.396 -0.376 -0.376 -0.376
prior->YCS_W->process[recruit_W].ycs_values{1978} -0.396 -0.396 -0.417 -0.417 -0.417 -0.397 -0.396 -0.397
prior->YCS_W->process[recruit_W].ycs_values{1979} -0.607 -0.607 -0.612 -0.612 -0.612 -0.607 -0.607 -0.607
prior->YCS_W->process[recruit_W].ycs_values{1980} -0.567 -0.567 -0.573 -0.573 -0.573 -0.568 -0.567 -0.568
prior->YCS_W->process[recruit_W].ycs_values{1981} -0.502 -0.502 -0.508 -0.508 -0.508 -0.502 -0.502 -0.502
prior->YCS_W->process[recruit_W].ycs_values{1982} -0.606 -0.606 -0.607 -0.607 -0.607 -0.606 -0.606 -0.606
prior->YCS_W->process[recruit_W].ycs_values{1983} -0.109 -0.109 -0.111 -0.111 -0.111 -0.108 -0.109 -0.108
prior->YCS_W->process[recruit_W].ycs_values{1984} -0.163 -0.163 -0.163 -0.163 -0.163 -0.161 -0.163 -0.161
prior->YCS_W->process[recruit_W].ycs_values{1985} -0.619 -0.619 -0.620 -0.620 -0.620 -0.619 -0.619 -0.619
prior->YCS_W->process[recruit_W].ycs_values{1986} -0.098 -0.098 -0.098 -0.098 -0.098 -0.097 -0.098 -0.097
prior->YCS_W->process[recruit_W].ycs_values{1987} 0.788 0.788 0.782 0.782 0.782 0.789 0.788 0.789
prior->YCS_W->process[recruit_W].ycs_values{1988} -0.252 -0.252 -0.255 -0.255 -0.255 -0.251 -0.252 -0.251
prior->YCS_W->process[recruit_W].ycs_values{1989} 1.207 1.207 1.211 1.211 1.211 1.207 1.207 1.207
prior->YCS_W->process[recruit_W].ycs_values{1990} 1.197 1.197 1.204 1.204 1.204 1.198 1.197 1.198
prior->YCS_W->process[recruit_W].ycs_values{1991} -0.081 -0.081 -0.080 -0.080 -0.080 -0.081 -0.081 -0.081
prior->YCS_W->process[recruit_W].ycs_values{1992} 0.480 0.480 0.480 0.480 0.480 0.480 0.480 0.480
prior->YCS_W->process[recruit_W].ycs_values{1993} -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643
prior->YCS_W->process[recruit_W].ycs_values{1994} 0.014 0.014 0.020 0.020 0.020 0.014 0.014 0.014
prior->YCS_W->process[recruit_W].ycs_values{1995} -0.410 -0.410 -0.413 -0.413 -0.413 -0.409 -0.410 -0.409
prior->YCS_W->process[recruit_W].ycs_values{1996} -0.301 -0.301 -0.306 -0.306 -0.306 -0.301 -0.301 -0.301
prior->YCS_W->process[recruit_W].ycs_values{1997} -0.466 -0.466 -0.471 -0.471 -0.471 -0.467 -0.466 -0.467
prior->YCS_W->process[recruit_W].ycs_values{1998} -0.322 -0.322 -0.334 -0.334 -0.334 -0.323 -0.322 -0.323
prior->YCS_W->process[recruit_W].ycs_values{1999} 2.014 2.014 2.014 2.014 2.014 2.014 2.014 2.014
prior->YCS_W->process[recruit_W].ycs_values{2000} -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643 -0.643
prior->YCS_W->process[recruit_W].ycs_values{2001} 0.856 0.856 0.846 0.846 0.846 0.855 0.856 0.855
prior->YCS_W->process[recruit_W].ycs_values{2002} -0.222 -0.222 -0.222 -0.222 -0.222 -0.222 -0.222 -0.222
prior->YCS_W->process[recruit_W].ycs_values{2003} -0.612 -0.612 -0.612 -0.612 -0.612 -0.612 -0.612 -0.612
prior->YCS_W->process[recruit_W].ycs_values{2004} -0.570 -0.570 -0.571 -0.571 -0.571 -0.570 -0.570 -0.570
prior->YCS_W->process[recruit_W].ycs_values{2005} -0.574 -0.574 -0.576 -0.576 -0.576 -0.574 -0.574 -0.574
prior->YCS_W->process[recruit_W].ycs_values{2006} -0.280 -0.280 -0.279 -0.279 -0.279 -0.280 -0.280 -0.280
prior->YCS_W->process[recruit_W].ycs_values{2007} -0.438 -0.438 -0.436 -0.436 -0.436 -0.438 -0.438 -0.438
prior->YCS_W->process[recruit_W].ycs_values{2008} -0.464 -0.464 -0.463 -0.463 -0.463 -0.464 -0.464 -0.464
prior->YCS_W->process[recruit_W].ycs_values{2009} -0.514 -0.514 -0.508 -0.508 -0.508 -0.514 -0.514 -0.514
prior->YCS_W->process[recruit_W].ycs_values{2010} 0.071 0.071 0.078 0.078 0.078 0.070 0.071 0.070
prior->YCS_W->process[recruit_W].ycs_values{2011} 0.031 0.031 0.043 0.043 0.043 0.030 0.031 0.030
prior->YCS_W->process[recruit_W].ycs_values{2012} -0.050 -0.050 -0.059 -0.059 -0.059 -0.049 -0.050 -0.049
prior->YCS_W->process[recruit_W].ycs_values{2013} -0.489 -0.489 -0.490 -0.490 -0.490 -0.488 -0.489 -0.488
prior->YCS_W->process[recruit_W].ycs_values{2014} 1.730 1.730 1.742 1.742 1.742 1.727 1.730 1.727
prior->YCS_W->process[recruit_W].ycs_values{2015} 1.681 1.681 1.687 1.687 1.687 1.684 1.681 1.684
prior->YCS_W->process[recruit_W].ycs_values{2016} 0.363 0.363 0.373 0.373 0.373 0.364 0.363 0.364
prior->sel_Whome->selectivity[sel_Whome].v{1}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Whome->selectivity[sel_Whome].v{2}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Whome->selectivity[sel_Whome].v{3}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Whome->selectivity[sel_Whome].v{4}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Whome->selectivity[sel_Whome].v{5}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Whome->selectivity[sel_Whome].v{6}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Whome->selectivity[sel_Whome].v{7}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{1}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{2}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{3}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{4}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{5}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{6}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{7}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{8}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{1}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{2}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{3}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{4}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{5}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{6}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{7}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{8}             0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Enspsl_mu->selectivity[Enspsl].mu               0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Enspsl_s_l->selectivity[Enspsl].sigma_l          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Enspsl_s_r->selectivity[Enspsl].sigma_r          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Wnspsl_mu->selectivity[Wnspsl].mu               0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Wnspsl_s_l->selectivity[Wnspsl].sigma_l          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Wnspsl_s_r->selectivity[Wnspsl].sigma_r          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Espsl_mu->selectivity[Espsl].mu               0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Espsl_s_l->selectivity[Espsl].sigma_l          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->Espsl_s_r->selectivity[Espsl].sigma_r          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->CRsl_mu->selectivity[CRsl].mu               0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->CRsl_s_l->selectivity[CRsl].sigma_l          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->CRsl_s_r->selectivity[CRsl].sigma_r          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->SAsl_mu->selectivity[SAsl].mu               0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->SAsl_s_l->selectivity[SAsl].sigma_l          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
prior->SAsl_s_r->selectivity[SAsl].sigma_r          0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
additional_prior->YCS.eq.16               0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
additional_prior->sp.migr             0.009 0.009 0.013 0.013 0.013 0.009 0.009 0.009
jacobian->log_sum_b0                  0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
total_score                  1946.810 1946.810 1946.540 1946.540 1946.540 1946.800 1946.810 1946.800

## [1] "CASAL base model convergence information"
## [1] "fmm: have converged: t = 8.24015e-007 f = 1946.54"                                                        
## [2] "Successful convergence in optimise"                                                                       
## [3] "Minimiser achieved convergence after 599 quasi-Newton iterations using 669 objective function evaluations"
## [1] ""
## [1] "CASAL sensitivity 1 model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [3] "Minimiser achieved convergence after 665 quasi-Newton iterations using 765 objective function evaluations"
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model convergence information"
## [1] "fmm: have converged: t = 4.80834e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model convergence information"
## [1] "fmm: have converged: t = 4.25092e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [1] ""
## [1] "Casal2 cppad_casal_flags_on model convergence information"
##  [1] "Number of nonzeros in equality constraint Jacobian...:        0"
##  [2] "Number of nonzeros in inequality constraint Jacobian.:      133"
##  [3] "Number of nonzeros in Lagrangian Hessian.............:     8911"
##  [4] "Number of Iterations....: 56"                                   
##  [5] "Number of objective function evaluations             = 91"      
##  [6] "Number of objective gradient evaluations             = 57"      
##  [7] "Number of equality constraint evaluations            = 0"       
##  [8] "Number of inequality constraint evaluations          = 91"      
##  [9] "Number of equality constraint Jacobian evaluations   = 0"       
## [10] "Number of inequality constraint Jacobian evaluations = 57"      
## [11] "Number of Lagrangian Hessian evaluations             = 56"      
## [12] "EXIT: Optimal Solution Found."                                  
## [1] ""
## [1] "Casal2 cppad_casal_flags_off model convergence information"
##  [1] "Number of nonzeros in equality constraint Jacobian...:        0"
##  [2] "Number of nonzeros in inequality constraint Jacobian.:      133"
##  [3] "Number of nonzeros in Lagrangian Hessian.............:     8911"
##  [4] "Number of Iterations....: 56"                                   
##  [5] "Number of objective function evaluations             = 95"      
##  [6] "Number of objective gradient evaluations             = 57"      
##  [7] "Number of equality constraint evaluations            = 0"       
##  [8] "Number of inequality constraint evaluations          = 95"      
##  [9] "Number of equality constraint Jacobian evaluations   = 0"       
## [10] "Number of inequality constraint Jacobian evaluations = 57"      
## [11] "Number of Lagrangian Hessian evaluations             = 56"      
## [12] "EXIT: Optimal Solution Found."                                  
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model convergence information"
## character(0)
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model convergence information"
## character(0)
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model convergence information"
## character(0)
## [1] "CASAL model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "CASAL sensitivity 1 model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model warnings"
## $warnings_found
## [1] 10
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_9
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model warnings"
## $warnings_found
## [1] 10
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_9
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 cppad_casal_flags_on model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 cppad_casal_flags_off model warnings"
## $warnings_found
## [1] 6
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model warnings"
## $warnings_found
## [1] 9
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model warnings"
## $warnings_found
## [1] 9
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"
## 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model warnings"
## $warnings_found
## [1] 9
## 
## $warning_0
## [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
## 
## $warning_1
## [1] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"
## 
## $warning_2
## [1] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"
## 
## $warning_3
## [1] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_4
## [1] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"
## 
## $warning_5
## [1] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_6
## [1] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"
## 
## $warning_7
## [1] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"
## 
## $warning_8
## [1] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"
## 
## $type
## [1] "warnings"

1.4 Matching of outputs

Time series comparisons with CASAL base model results

## [1] "Catch time series base model comparison for run betadiff_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run cppad_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run cppad_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""

Derived quantities

SB0, SBcurrent, MSY, F_MSY, others…

1.5 Plots

Comparison plots

## [1] "CASAL base parameter correlation range (excluding 1.0): -0.991373 0.996882"

## [1] "CASAL sensitivity 1 parameter correlation range (excluding 1.0): -0.932422 0.996848"

## [1] "Casal2 betadiff_casal_flags_on parameter correlation range (excluding 1.0): -0.884321982666693 0.996651189974699"

## [1] "Casal2 betadiff_casal_flags_off parameter correlation range (excluding 1.0): -0.892527497796813 0.996650191207509"

## [1] "Casal2 betadiff_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.936296735406878 0.996647376630237"

## [1] "Casal2 cppad_casal_flags_on parameter correlation range (excluding 1.0): 0 0"

## [1] "Casal2 cppad_casal_flags_off parameter correlation range (excluding 1.0): 0 0"

## [1] "Casal2 adolc_casal_flags_on parameter correlation range (excluding 1.0): -0.981865171360072 0.996644781288907"

## [1] "Casal2 adolc_casal_flags_off parameter correlation range (excluding 1.0): -0.884163492058679 0.996597746044801"

## [1] "Casal2 adolc_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.888515743660313 0.999511857241577"